Industrial applications of Machine learning

Machine learning is a rapidly burgeoning field with increasing applications to industry. It is transforming the way that businesses make decisions by providing solutions to complex problems in a fraction of the time and effort that traditional methods have required. This book is designed to introduce industrial professionals to the techniques and methods used in machine learning and provide them with a roadmap to effectively apply them in their own fields.
The topics covered in this book range from fundamental supervised and unsupervised learning techniques, to more complex neural networks and deep learning algorithms. We will also discuss topics such as data mining, predictive modeling, and natural language processing (NLP). Finally, practical applications of machine learning in the domains of predictive analytics, computer vision, robotics, and control technology are discussed.
With the abundance of data available across multiple industries, machine learning is becoming a valuable tool for industrial professionals. Through understanding the components of machine learning, exploring its various techniques, and applying its problem-solving capabilities, professionals everywhere will be able to leverage its power to improve decision-making and increase efficiency.